###################################################################
# If you used Vina-GPU in your work, please cite:                 #
#                                                                 #
# Tang, S.; Chen, R.; Lin, M.; Lin, Q.; Zhu, Y.; Ding, J.; Hu, H.;#
# Ling, M.; Wu, J. Accelerating AutoDock Vina with GPUs.          #
# Molecules 2022, 27, 3041.                                       #
# https://doi.org/10.3390/molecules27093041                       #
#                                                                 #
# And also the origin AutoDock Vina paper:                        #
# O. Trott, A. J. Olson,                                          #
# AutoDock Vina: improving the speed and accuracy of docking      #
# with a new scoring function, efficient optimization and         #
# multithreading, Journal of Computational Chemistry 31 (2010)    #
# 455-461                                                         #
#                                                                 #
# DOI 10.1002/jcc.21334                                           #
#                                                                 #
###################################################################

WARNING: The search space volume > 27000 Angstrom^3 (See FAQ)
Reading input ... done.
Setting up the scoring function ... done.
Analyzing the binding site ... done.
Using random seed: -2043089728
Refining results ... done.

mode |   affinity | dist from best mode
     | (kcal/mol) | rmsd l.b.| rmsd u.b.
-----+------------+----------+----------
   1         -7.1      0.000      0.000
   2         -6.9      7.992     14.944
   3         -6.9     16.318     21.079
   4         -6.8     21.302     29.507
   5         -6.7     20.418     24.977
   6         -6.7     14.971     20.340
   7         -6.7     19.457     25.216
   8         -6.6      8.461     13.621
   9         -6.6      6.257     16.277
  10         -6.6      5.070     15.760
  11         -6.6     17.460     23.107
  12         -6.5     20.412     27.000
  13         -6.5     15.410     20.720
  14         -6.5      9.282     15.089
  15         -6.4     17.096     22.332
  16         -6.4     16.084     21.413
  17         -6.4     21.099     29.421
  18         -6.4     20.091     25.298
  19         -6.3     17.396     23.554
  20         -6.2     17.034     22.428
Writing output ... done.